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New Relic

Paid

Reduces MTTR with AI-powered observability for developers and ops teams.

40 visitors 6 hours ago

Frustration: fragmented telemetry and slow MTTR across modern stacks. New Relic connects data from apps, clouds, Kubernetes, logs, and metrics into a single view.

Stop Wasting Time on Silos

Experience AI-powered observability that correlates signals and surfaces prioritized incidents, so you can act fast.

The 'Aha!' Moment

With AI-guided insights and automated remediation, New Relic lets you reproduce issues with session replay and resolve root causes quickly, reducing risk and improving user experience. It integrates with open telemetry standards to scale with your environment.

Verification Options:

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Email Verification: Verify ownership through your domain email.

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File Verification: Place our file in your server.

After verification, you'll have access to manage your AI tool's information (pending approval).

Free trial available; duration not specified in the context.

Quick verdict

Based on 2 reviews

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Pros

  • AI-Driven Anomaly Detection automatically prioritizes issues during on-call, cutting the time spent triaging.
  • AI-guided Session Replay lets me reproduce a user's journey quickly to verify root cause.
  • Automated Remediation reduces toil by suggesting fixes and accelerating resolution.

Cons

  • Occasional false positives during traffic spikes require manual filtering.
  • OpenTelemetry instrumentation for our legacy services needed extra adapters and took extra time to roll out.
  • Dashboard rendering can lag during large incident periods, delaying contextual data.

Customer Reviews for New Relic

Overall Analytics

Comprehensive review insights and historical performance

Very Positive (2) 5.0/5 2 reviews 100% recommend โ€” Monthly growth

6-month timeline

Most helpful

Fatima Al-Sayed
Fatima Al-Sayed 0

I've been on-call for a critical payments service and New Relic's AI anomaly detection automatically flags incidents and prioritizes them, speeding triage. The AI-guided session replay helps me reproduce a path to verify root cause. Occasionally there are false positives during traffic spikes, which I tune away, but it still saves me hours.

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Recent Review Statistics

Sentiment analysis and trends from the last Last 30 days

5.0/5
2 reviews
Very Positive (2) New reviews
Trend: Steady Velocity: 0.1/day Engagement: 0%
Velocity utilization 14%
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Showing 1 - 2 of 2 reviews .

User avatar for Fatima Al-Sayed

Fatima Al-Sayed

Trusted Reviewer
5.0
Recommends

AI-driven anomaly detection slashes MTTR, but false positives need tuning

Used for 1-3 months

What I liked

  • AI-Driven Anomaly Detection automatically prioritizes issues during on-call, cutting the time spent triaging.
  • AI-guided Session Replay lets me reproduce a user's journey quickly to verify root cause.
  • Automated Remediation reduces toil by suggesting fixes and accelerating resolution.
  • Infrastructure Monitoring & Log Management delivers end-to-end visibility across services.

What could be better

  • Occasional false positives during traffic spikes require manual filtering.
  • OpenTelemetry instrumentation for our legacy services needed extra adapters and took extra time to roll out.
  • Dashboard rendering can lag during large incident periods, delaying contextual data.

I've been on-call for a critical payments service and New Relic's AI anomaly detection automatically flags incidents and prioritizes them, speeding triage. The AI-guided session replay helps me reproduce a path to verify root cause. Occasionally there are false positives during traffic spikes, which I tune away, but it still saves me hours.

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User avatar for Amelia Moore

Amelia Moore

Trusted Reviewer
5.0
Recommends

Multi-cloud spend visibility is solid, but tagging discipline is a prerequisite

Used for 3-6 months

What I liked

  • Multi-Cloud & Kubernetes Spend Visibility provides cost visibility by cluster, namespace, and service across clouds.
  • OpenTelemetry Support enables interoperability across stacks, simplifying instrumentation.
  • Infrastructure Monitoring & Log Management delivers end-to-end visibility that links spend to performance metrics.

What could be better

  • Accurate cost attribution hinges on consistent tagging across teams, which is hard to enforce.
  • Large deployments can cause the spend dashboards to refresh slower than real-time.
  • Pricing model could be more transparent for long-term multi-project deployments.

I manage multi-cloud workloads and Kubernetes deployments, and the spend visibility feature helps me tie costs to clusters, namespaces, and services across clouds. The OpenTelemetry interoperability makes it easier to instrument new services without fighting tools. The main hitch is that accurate cost attribution relies on consistent tagging across teams, which isn't always enforced.

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How it works

How New Relic Works In 3 Steps?

  1. Step 1

    1. Sign up for New Relic

    Create your account to start AI-powered observability and faster MTTR.

  2. Step 2

    2. Link your apps and data

    Connect apps, logs and metrics to unlock unified AI-driven insights.

  3. Step 3

    3. Explore AI dashboards

    Browse AI dashboards to diagnose issues quickly and with context.

Direct Comparison

See how New Relic compares to its alternative:

New Relic VS Sherlocks.ai

New Relic: Features, Advantages & FAQs

Explore everything you need to know about New Relic

Core Features
  • AI-Driven Anomaly Detection: Prioritizes issues automatically
  • OpenTelemetry Support: Interoperability across stacks
  • Multi-Cloud & Kubernetes Spend Visibility: Optimize cloud costs
  • AI-guided Session Replay: Reproduce user sessions for debugging
  • Automated Remediation: Reduces mean time to resolution
  • Infrastructure Monitoring & Log Management: End-to-end visibility
Advantages
  • AI-powered observability for faster MTTR
  • OpenTelemetry compatibility
  • Unified stack visibility across multi-cloud and Kubernetes
  • AI-guided remediation reduces toil
  • Deep integration with logs, metrics, and traces
  • Real-time security prioritization using production impact data
Use Cases
  • Monitoring application performance across services
  • Detecting and diagnosing incidents
  • Analyzing Kubernetes and cloud spend
  • Reproducing issues with AI-guided session replay
  • Prioritizing vulnerabilities with production impact data
  • Optimizing resource utilization across AI agents
  • Correlating logs and metrics for faster MTTR
Best For
  • DevOps Engineers, Site Reliability Engineers, IT Operations Teams, Software Developers, Cloud Architects, Security Engineers

Integrations

Works with the tools you already use

Slack, Jira, PagerDuty, AWS, Azure, Google Cloud, Kubernetes, OpenTelemetry
Best For

DevOps Engineers, Site Reliability Engineers, IT Operations Teams, Software Developers, Cloud Architects, Security Engineers

Skill Level
Intermediate

Frequently Asked Questions

What is New Relic?

An AI-powered observability platform that consolidates telemetry to reduce MTTR.

Does New Relic support OpenTelemetry?

Yes, it adheres to open telemetry standards for data collection.

Is there a free trial?

Yes, a free trial is available; paid options start from $10/month.

What teams benefit from New Relic?

DevOps Engineers, Site Reliability Engineers, IT Operations, Developers, Cloud Architects, Security Engineers.

Developed by: New Relic, Inc.

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